Toshikatsu Hanada
- Immunology top 0.5%
- interferon and immune responses 11
- Immune Cell Function and Interaction 6
- Immune Response and Inflammation 5
- Oncology top 0.5%
- Cytokine Signaling Pathways and Interactions 27
- Cancer Research top 1%
- Pharmacology top 0.5%
- Pharmacological Effects of Natural Compounds 5
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- RNA modifications and cancer 7
- RNA Research and Splicing 7
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- Zebrafish Biomedical Research Applications 4
- Co-authors
- Akihiko YoshimuraMasato KuboDaisuke AkiHideo YasukawaHiroyuki MoriMasanobu OhishiTakafumi YoshidaReiko Hanada
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- Cell (1 paper)Journal of Biological Chemistry (3 papers)Journal of Clinical Investigation (4 papers)
- Partner nations
- JapanAustriaUnited States
In The Last Decade
Toshikatsu Hanada
63 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Immunology 3.6k
- Oncology 3.0k
- Cancer Research 1.2k
- Pharmacology 522
- Endocrine and Autonomic Systems 384
Countries citing papers authored by Toshikatsu Hanada
This map shows the geographic impact of Toshikatsu Hanada's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Toshikatsu Hanada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshikatsu Hanada more than expected).
Fields of papers citing papers by Toshikatsu Hanada
This network shows the impact of papers produced by Toshikatsu Hanada. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Toshikatsu Hanada. The network helps show where Toshikatsu Hanada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Toshikatsu Hanada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 12 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 32 | |
| 6 | 2021 | 4 | |
| 7 | 2021 | 12 | |
| 8 | 2020 | 4 | |
| 9 | 2018 | 4 | |
| 10 | 2009 | 53 | |
| 11 | 2008 | 154 | |
| 12 | 2005 | 87 | |
| 13 | 2003 | 458 | |
| 14 | IL-6 induces an anti-inflammatory response in the absence of SOCS3 in macrophagesbreakdown → | 2003 | 647 |
| 15 | 2002 | 37 | |
| 16 | 2002 | 30 | |
| 17 | 2001 | 331 | |
| 18 | 2001 | 138 | |
| 19 | 2000 | 232 | |
| 20 | Clinical significance of multi-drug resistance associated protein and P-glycoprotein in patients with bladder cancer. | 1997 | 60 |
About Toshikatsu Hanada
Toshikatsu Hanada is a scholar working on Immunology, Oncology and Pharmacology, having authored 64 papers that have together received 7.2k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (27 papers), interferon and immune responses (11 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (7 papers), Immune Cell Function and Interaction (6 papers), Pharmacological Effects of Natural Compounds (5 papers), Immune Response and Inflammation (5 papers) and Zebrafish Biomedical Research Applications (4 papers). The work is most often cited by research in Immunology (3.6k citations), Oncology (3.0k citations) and Cancer Research (1.2k citations). Toshikatsu Hanada has collaborated with scholars based in Japan, Austria and United States. Frequent co-authors include Akihiko Yoshimura, Masato Kubo, Daisuke Aki, Hideo Yasukawa, Hiroyuki Mori, Masanobu Ohishi, Akihiko Yoshimura, Takafumi Yoshida, Reiko Hanada and Hitomi Nishinakamura. Their work appears in journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Investigation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.